ZhangYuanhan-AI / NOAH
[TPAMI] Searching prompt modules for parameter-efficient transfer learning.
☆222Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for NOAH
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆173Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆260Updated 10 months ago
- Exploring Visual Prompts for Adapting Large-Scale Models☆267Updated 2 years ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆146Updated 11 months ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆171Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆166Updated 8 months ago
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆151Updated last year
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆79Updated 2 years ago
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆145Updated 2 years ago
- PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)☆202Updated last year
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆90Updated last year
- Toolkit for Elevater Benchmark☆67Updated last year
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆97Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆99Updated last year
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆106Updated 2 years ago
- Is synthetic data from generative models ready for image recognition?☆176Updated last year
- ☆100Updated 8 months ago
- [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"☆329Updated 2 years ago
- ☆160Updated 10 months ago
- [CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》☆149Updated last year
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆233Updated last year
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆253Updated 6 months ago
- ☆171Updated last year
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆94Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆81Updated 8 months ago
- ☆267Updated last year
- Dataset pruning for ImageNet and LAION-2B.☆69Updated 4 months ago
- ☆58Updated 2 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆117Updated 3 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆72Updated 7 months ago